Conference Papers

  1. Cong, S, Sang, Z, Liu, H, Luo, H, Wang, X, Liang, H, Hao, J, Yao, X, MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification. IEEE International Conference on Bioinformatics and Biomedicine 2024 (IEEE BIBM 2024). （CCF-B, 20% acceptance rate）.  Accepted.

  2. Cong, S., Fan, Z., Liu, H., Zhang, Y., Wang, X., Luo, H., Yao, X. （2024）. Trustworthy Enhanced Multi-view Multi-modal Alzheimer’s Disease Prediction with Brain-wide Imaging Transcriptomics Data. IEEE International Conference on Bioinformatics and Biomedicine 2024 (IEEE BIBM 2024). （CCF-B, 21% acceptance rate）.  Accepted.

  3. Cong, S., Cui, K., Yang, Y., Zhou, Y., Wang, X., Luo, H., Zhang, Y., Yao, X. (2024). DDASR: Domain-Distance Adapted Super-Resolution Reconstruction of MR Brain Images.  IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2024). （CAA-A/CCF-C）. Accepted.

  4. Han, D., Yu, R., Li, S., Wang, J., Yang, Y., Zhao, Z., ... & Cong, S. (2023, August). MR Image Harmonization with Transformer. In 2023 IEEE International Conference on Mechatronics and Automation (IEEE ICMA 2023) (pp. 2448-2453). （CAA-B)

  5. Eng Y, Yao X, Liu K, Risacher S, Saykin A, Long Q, Zhao Y, Shen L, for the ADNI. (2020) Polygenic mediation analysis of Alzheimer’s disease implicated intermediate amyloid imaging phenotypes. AMIA’20: AMIA 2020 Annual Symposium, pp 422-431, Virtual Conference, November 14-18, 2020. (* Equal Contribution)

  6. Feng Y, Kim M, Yao X, Liu K, Long Q, Shen L. (2020) Deep multiview learning for population subtyping with multimodal imaging. BIBE’20: IEEE Int. Conf. on BioInformatics and BioEngineering, pp 308-314, Virtual Conference, October 26-28, 2020 USA.

  7. Yao X, Cong S, Yan J, Risacher SL, Saykin AJ, Moore JH, Shen L. “Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis.” BHI’19: IEEE International Conference on Biomedical and Health Informatics. May 19-22, 2019; Dorin Forum, UIC, Chicago, IL, USA.

  8. Yao X, Tsang T, Quinney S, Zhang P, Ning X, Shen L. “Mining and visualizing high-order directional drug interaction effects using the FAERS database.” ICIBM’19: International Conference on Intelligent Biology and Medicine. June 9-11, 2019; Columbus, OH, USA.

  9. Du L, Fang L, Liu K, Yao X, Risacher S, Han J, Guo L, Saykin A, Shen L. (2019) A dirty multi-task learning method for multi-modal brain imaging genetics. MICCAI’19: Med Image Comput Comput Assist Interv, Shenzhen, China, October 13-17, 2019.

  10. Peng B, Ren Z, Yao X, Liu K, Saykin AJ, Shen L, Ning X, for the ADNI. (2019) Prioritizing amyloid imaging biomarkers in Alzheimer's disease via learning to rank. MBIA’19: MICCAI Workshop on Multimodal Brain Image Analysis, Shenzhen, China, October 17, 2019.

  11. Peng B, Yao X, Risacher SL, Saykin AJ, Shen L, Ning X. (2019) Prioritization of cognitive assessments in Alzheimer's disease via learning to rank using brain morphometric data. BHI’19: IEEE International Conference on Biomedical and Health Informatics, Chicago, IL, May 19-22, 2019.

  12. Du L, Liu K, Yao X, Risacher SL, Guo L, Saykin AJ, Shen L. (2019) Diagnosis status guided brain imaging genetics via integrated regression and sparse canonical correlation analysis. ISBI’19: IEEE Int. Sym. on Biomedical Imaging, Venice, Italy, April 8-11, 2019.

  13. Du L, Liu K, Yao X, Risacher SL, Han J, Guo L, Saykin AJ, Shen L. (2018) Fast multi-task SCCA learning with feature selection for multi-modal brain imaging genetics. BIBM’18: IEEE Int. Conf. on Bioinformatics and Biomedicine. Madrid, Spain, December 3-6, 2018.

  14. Lu L, Wang H, Yao X, Risacher S, Saykin AJ, Shen L, for the ADNI. (2018) Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. ISBI’18:  IEEE Int. Sym. on Biomedical Imaging, Washington DC, April 4-7, 2018.

  15. Yao X, Yan J, Risacher SL, Moore JH, Saykin AJ, Shen L. “Network-based genome wide study of hippocampal phenotypes in Alzheimer’s disease to identify functional interaction modules.” ICASSP’17: The 42nd IEEE Int Conf on Acoustics, Speech and Signal Processing. Mar 5-9, 2017; New Orleans, LA.  

  16. Liu K, Yao X, Yan J, Chasioti D, Risacher S, Nho K, Saykin A, Shen L, for the ADNI. (2017) Transcriptome-guided imaging genetic analysis via a novel sparse CCA algorithm. MICGen 2017: MICCAI Workshop on Imaging Genetics, Quebec City, Canada, September 10, 2017.

  17. Huang Y, Du L, Liu K, Yao X, Risacher SL, Guo L, Saykin AJ, Shen L, for the ADNI. (2017) A fast SCCA algorithm for big data analysis in brain imaging genetics. MICGen 2017: MICCAI Workshop on Imaging Genetics, Quebec City, Canada, September 10, 2017.

  18. Du L, Zhang T, Liu K, Yan J, Yao X, Risacher SL, Saykin AJ, Han J, Guo L, Shen L. (2017) Identifying associations between brain imaging phenotypes and genetic factors via a novel structured SCCA approach. IPMI’17: Information Processing in Medical Imaging, Boone, North Carolina, USA, June 25-30, 2017.

  19. Wang X, Yan J, Yao X, Kim S, Nho K, Risacher SL, Saykin AJ, Shen L, Huang H, for the ADNI. (2017) Longitudinal genotype-phenotype association study via temporal structure auto-learning predictive model. RECOMB’17: The 21st Annual International Conference on Research in Computational Molecular Biology, Hong Kong, May 3-7, 2017.

  20. Du L, Zhang T, Liu K, Yao X, Yan J, Risacher SL, Guo L, Saykin AJ, Shen L. (2017) Sparse Canonical Correlation Analysis via Truncated l1-norm with Application to Brain Imaging Genetics.  BIBM’16: IEEE Int. Conf. on Bioinformatics and Biomedicine. Shenzhen, China; 2016.

  21. Hao X, Yan J, Yao X, Risacher SL, Saykin AJ, Zhang D, Shen L. (2016) Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in Alzheimer's disease. Pac Symp Biocomput, 2016.

  22. Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L. “Two-dimensional enrichment analysis for mining high-level imaging genetic associations.” BIH’15: International Conference on Brain Informatics & Health. Aug 30-Sep 2, 2015; London, UK.

  23. Liang H, Meng X, Chen F, Zhang Q, Yan J, Yao X, Kim S, Wang L, Feng W, Saykin AJ, Li J, Shen L, and for the ADNI. (2015) A network-based framework for mining high-level imaging genetic associations. MICGen 2015: MICCAI Workshop on Imaging Genetics, October 9, 2015.

  24. Yao X, Xu Y, Yang J. “A Faster Haplotyping Algorithm based on Block Partition and Greedy Ligation Strategy.” ICIC’11: The 7th International Conference on Intelligent Computing. Aug 11-14, 2011; Zhengzhou, China.

  25. Cong S, Yao X, Risacher SL, Nho K, Saykin AJ, Shen L. GWAS of Hippocampal Subfield and Neighboring Cortical Structure Volumes Identifies an ERC1 Locus Using ADNI High-Resolution MRI Data. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association. 2019;15(7):P1633.

  26. Yao X, Cong S, Yan J, Risacher SL, Saykin AJ, Moore JH, et al. Mining regional imaging genetic associations via Voxel-wise enrichment analysis. In: 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE; 2019. p. 1–4.

  27. Mussabayeva A, Kroshnin A, Kurmukov A, Denisova Y, Shen L, Cong S, et al. Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. In: International Workshop on Shape in Medical Imaging. Springer; 2018. p. 160–168.

  28. Petrov D, Gutman BA, et int, Cong S, et al. Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging. In: International Workshop on Machine Learning in Medical Imaging. Springer; 2017. p. 371–378.

  29. Cong S, Rizkalla M, Salama P, Risacher SL, West JD, Wu YC, et al. Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration. In: Circuits and Systems (MWSCAS), 2016 IEEE 59th International Midwest Symposium on. IEEE; 2016. p. 1–4.

  30. Inlow M, Cong S, Risacher SL, West J, Rizkalla M, Salama P, et al. A New Statistical Image Analysis Approach and Its Application to Hippocampal Morphometry. In: International Conference on Medical Imaging and Virtual Reality. Springer; 2016. p. 302–310.

  31. Cong S, Risacher SL, West JD, Wu YC, Apostolova LG, Tallman EF, et al. Volumetric comparison of automatically segmented hippocampal subfields from 4-minute accelerated vs. 8-minute T2-weighted 3T MRI scans. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association. 2016;12(7):P1167.

  32. Cong S, Rizkalla M, Salama P, West J, Risacher S, Saykin A, et al. Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer’s disease. In: Circuits and Systems (MWSCAS), 2015 IEEE 58th International Midwest Symposium on. IEEE; 2015. p. 1–4.

  33. Cong S, Rizkalla M, Du EY, West J, Risacher S, Saykin A, et al. Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM. In: Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on. IEEE; 2014. p. 813–816.

  34. Wang P, Li D, Cong S, Liang C. Development of automatic control system for supplying cold water based on PLC and configuration software. In: Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology. vol. 3. IEEE; 2011. p. 1603–1606.

  35. Li D, Wang P, Liang C, Cong S, Li Y, Chen T. Development of automatic control system for finishing of precise flat steel. In: Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology. vol. 3. IEEE; 2011. p. 1639–1642.